Inverse Engineering of Mg Alloys Using Guided Oversampling and Semi‐Supervised Learning
End‐to‐end design of engineering materials such as Mg alloys must include the properties, structure, and post‐synthesis processing methods. However, this is challenging when destructive mechanical testing is needed to annotate unseen data, and the processing methods for hypothetical alloys are unknown.
Amanda S. Barnard
wiley +1 more source
Investigation of FDM-Based 3D Printing for Optimized Tooling in Automotive and Electronics Sheet Metal Cutting [PDF]
Szabolcs Szalai +6 more
openalex +1 more source
Information Dense and Industry Scalable Accelerated Formation
Pulsed formation can reduce lithium‐ion battery formation time by over 50% while maintaining or enhancing performance. Validated on 25 Ah prismatic cells, this industry‐scalable method yields thinner, more homogeneous solid electrolyte interphases (SEIs).
Leon Merker +3 more
wiley +1 more source
Flexible Memory: Progress, Challenges, and Opportunities
Flexible memory technology is crucial for flexible electronics integration. This review covers its historical evolution, evaluates rigid systems, proposes a flexible memory framework based on multiple mechanisms, stresses material design's role, presents a coupling model for performance optimization, and points out future directions.
Ruizhi Yuan +5 more
wiley +1 more source
Identifying target oriented Industrie 4.0 potentials in lean automotive electronics value streams
Tobias Wagner, C. Herrmann, S. Thiede
semanticscholar +1 more source
Ágazati innovációs és termelési rendszerek egy nyitott, átalakuló gazdaságban: A járműipar, az elektronika és a távközlési berendezésgyártás esete Magyarországon = Sectoral Systems of Innovation and Production in an Open Transition Economy: The case of the Hungarian automotive, electronics and telecom equipment industries [PDF]
Attila Havas, István János Tóth
openalex
This work presents a novel generative artificial intelligence (AI) framework for inverse alloy design through operations (optimization and diffusion) within learned compact latent space from variational autoencoder (VAE). The proposed work addresses challenges of limited data, nonuniqueness solutions, and high‐dimensional spaces.
Mohammad Abu‐Mualla +4 more
wiley +1 more source
Blockchain adoption in remanufacturing under carbon tax policies: A game theory analysis of industry dynamics and consumer impact. [PDF]
Li J, Yang T, Shi L.
europepmc +1 more source

